@inproceedings{b8c80f5131344310ba7fbd45d4705e97,
title = "Switching learning law for differential neural observer for biodegradation process",
abstract = "In this paper, it is presented a differential neural network supplied with a new learning law based on the sliding mode approach. The state observer is employed to estimate the dynamics states of degradation mathematical model, where the incomplete information and the limited on-line measure problems are considered. A new training method is applied in the learning algorithm is proposed to reconstruct Biomass, Organic Matter Recalcitrant concentrations and Volume of biological culture evolutions. This allows ensuring an upper bound for the weights time evolution. This new scheme gives the possibility to construct not only one adaptive process but a set of learning laws. The effectiveness of this algorithm is shown by numerical results.",
keywords = "Biodegradation process, Differential neural networks, Identification, Sliding mode approach, State estimator",
author = "R. Fuentes and A. Garc{\'i}a and A. Cabrera and T. Poznyak and I. Chairez",
year = "2006",
doi = "10.1109/ijcnn.2006.247072",
language = "Ingl{\'e}s",
isbn = "0780394909",
series = "IEEE International Conference on Neural Networks - Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4484--4490",
booktitle = "International Joint Conference on Neural Networks 2006, IJCNN '06",
address = "Estados Unidos",
note = "International Joint Conference on Neural Networks 2006, IJCNN '06 ; Conference date: 16-07-2006 Through 21-07-2006",
}